Invention Grant
- Patent Title: Wireless MAC mode selection using machine learning
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Application No.: US16044648Application Date: 2018-07-25
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Publication No.: US10674440B2Publication Date: 2020-06-02
- Inventor: Mukesh Taneja , Sudhir Kumar Jain , Pradeep Kumar Kathail
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Behmke Innovations Group LLC
- Agent James M. Behmke; James J. Wong
- Main IPC: G06N20/00
- IPC: G06N20/00 ; H04W48/16 ; H04B7/0417 ; H04B7/0452 ; H04B7/06

Abstract:
In one embodiment, a network monitoring service trains, using a training dataset from one or more wireless networks, a machine learning model to output an optimized set of media access control (MAC) mode parameters for a wireless access point given an input set of network characteristics. The service receives a plurality of network characteristics associated with a particular wireless access point in a particular wireless network. The service determines, using the received network characteristics as input to the machine learning-based model, a set of MAC mode parameters for the particular wireless access point. The service controls the particular wireless access point to communicate with one or more clients in the particular wireless network based on the determined set of MAC mode parameters.
Public/Granted literature
- US20200037233A1 WIRELESS MAC MODE SELECTION USING MACHINE LEARNING Public/Granted day:2020-01-30
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